Machine Learning Engineer Jobs in New York
Machine Learning Engineer jobs in New York are among the most active in the country, concentrated in finance, media, healthcare technology, and enterprise software, with openings at every level from entry-level to principal engineer. New York City is the dominant hiring hub, with significant activity in Westchester and Buffalo as well, where firms like JPMorgan Chase, IBM, and Google maintain large and lasting engineering presences. The most in-demand specializations right now are natural language processing, recommendation systems, and MLOps infrastructure. Find a role that fits below and apply directly.
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Showing 5 of 135+ Machine Learning Engineer jobs
Location: New York
Other locations: Anywhere in Country
Salary: Competitive
Date: Jul 21, 2026
Job description
Requisition ID: 1719191
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
Within Power & Utilities engagements, these solutions will commonly support regulated environments such as electric, gas, and water utilities, addressing domains including grid and asset reliability, outage prediction and response, capital planning, customer operations, regulatory reporting, and operational efficiency across generation, transmission, distribution, and field operations.
Your key responsibilities
As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
In Power & Utilities contexts, this includes working with business, IT, and operations leaders to translate regulated utility priorities—such as safety, reliability, affordability, and compliance—into scalable AI-enabled solutions.
Your responsibilities will include:
- Leading workstream delivery and ensuring the effective management of processes and projects.
- Continuously improving processes by identifying innovative solutions through research and analysis.
- Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
- Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
- Identifying opportunities for additional services and managing engagement economics.
- Designing and delivering AI/ML use cases relevant to Power & Utilities, such as asset health and failure prediction, outage detection and restoration optimization, vegetation management analytics, demand forecasting, load and DER forecasting, predictive maintenance, customer operations optimization, and regulatory analytics.
- Working with utility data sources including SCADA, AMI/AMI 2.0, GIS, EAM (e.g., Maximo), OMS, CIS, and historian systems, and integrating these into modern analytics platforms.
- Supporting utilities in moving AI solutions from pilots to production while meeting regulatory, audit, cybersecurity, and data governance requirements.
Skills and attributes for success
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
For Power & Utilities clients, success also requires an understanding of regulated operating models, risk tolerance, safety culture, rate cases, capital programs, and long asset lifecycles, and the ability to align AI outcomes to these realities.
The following attributes will make a significant impact:
- Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
- Strong judgment in selecting methods and techniques for obtaining results.
- Experience in managing client relationships and delivering high-quality service.
- Ability to lead teams effectively and manage change within the organization.
- Ability to translate AI and analytics outputs into business-relevant insights for utility executives, regulators, and operational leaders.
- Comfort operating in highly regulated environments with strong governance, documentation, explainability, and model risk management expectations.
To qualify for the role, you must have
- A Bachelor’s degree required (4-year degree).
- 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning.
- 2-4 years of experience directly managing technical teams.
- Strong skills in Python.
- Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams.
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform.
- Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch.
- Experience with natural language processing and deep learning.
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions.
- Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
- Experience with model retraining and feedback loop methodologies.
- Experience with model and solution monitoring and reporting.
- Understanding of data structures, data modelling and software engineering best practices.
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.
- Skills in Technical Design Optimization.
- Strong relationship-building skills.
- Demonstrated client trust and value.
- Digital fluency and emotional agility.
- Commercial acumen and negotiation skills.
- Proven ability to lead teams and manage change.
- Experience delivering analytics or AI solutions in asset-intensive environments (e.g., utilities, energy, infrastructure, manufacturing, or transportation) is strongly preferred.
- Familiarity with utility regulatory, compliance, or operational data considerations is a plus.
Ideally, you’ll also have
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
- Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
- Experience working with diverse teams to deliver complex solutions.
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
- Experience fine-tuning Generative AI models.
- Experience in managing complex projects with multiple stakeholders.
- A strong understanding of industry trends and emerging technologies.
- Skills in data visualization and storytelling with data.
- Experience with image processing techniques and/or speech and audio processing and analysis.
- Exposure to Power & Utilities transformation programs, such as grid modernization, advanced metering, wildfire mitigation, energy transition, DER integration, or digital operations initiatives.
- Experience supporting executive-level decision-making in regulated environments, including preparation of materials that may be reviewed by regulators or governing bodies.
What we look for
We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
In the Power & Utilities sector, we value leaders who can balance innovation with reliability, speed with safety, and advanced analytics with regulatory and operational realities delivering AI solutions that utilities can trust, scale, and defend.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an ongoing basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
Location: New York
Other locations: Anywhere in Country
Salary: Competitive
Date: Jul 21, 2026
Job description
Requisition ID: 1719191
Location: Anywhere in Country
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
The opportunity
Our Artificial Intelligence and Data team helps apply cutting-edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions.
Within Power & Utilities engagements, these solutions will commonly support regulated environments such as electric, gas, and water utilities, addressing domains including grid and asset reliability, outage prediction and response, capital planning, customer operations, regulatory reporting, and operational efficiency across generation, transmission, distribution, and field operations.
Your key responsibilities
As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
In Power & Utilities contexts, this includes working with business, IT, and operations leaders to translate regulated utility priorities—such as safety, reliability, affordability, and compliance—into scalable AI-enabled solutions.
Your responsibilities will include:
- Leading workstream delivery and ensuring the effective management of processes and projects.
- Continuously improving processes by identifying innovative solutions through research and analysis.
- Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.
- Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.
- Identifying opportunities for additional services and managing engagement economics.
- Designing and delivering AI/ML use cases relevant to Power & Utilities, such as asset health and failure prediction, outage detection and restoration optimization, vegetation management analytics, demand forecasting, load and DER forecasting, predictive maintenance, customer operations optimization, and regulatory analytics.
- Working with utility data sources including SCADA, AMI/AMI 2.0, GIS, EAM (e.g., Maximo), OMS, CIS, and historian systems, and integrating these into modern analytics platforms.
- Supporting utilities in moving AI solutions from pilots to production while meeting regulatory, audit, cybersecurity, and data governance requirements.
Skills and attributes for success
To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
For Power & Utilities clients, success also requires an understanding of regulated operating models, risk tolerance, safety culture, rate cases, capital programs, and long asset lifecycles, and the ability to align AI outcomes to these realities.
The following attributes will make a significant impact:
- Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.
- Strong judgment in selecting methods and techniques for obtaining results.
- Experience in managing client relationships and delivering high-quality service.
- Ability to lead teams effectively and manage change within the organization.
- Ability to translate AI and analytics outputs into business-relevant insights for utility executives, regulators, and operational leaders.
- Comfort operating in highly regulated environments with strong governance, documentation, explainability, and model risk management expectations.
To qualify for the role, you must have
- A Bachelor’s degree required (4-year degree).
- 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning.
- 2-4 years of experience directly managing technical teams.
- Strong skills in Python.
- Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams.
- Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform.
- Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch.
- Experience with natural language processing and deep learning.
- Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions.
- Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation.
- Experience with model retraining and feedback loop methodologies.
- Experience with model and solution monitoring and reporting.
- Understanding of data structures, data modelling and software engineering best practices.
- Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques.
- Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements.
- Skills in Technical Design Optimization.
- Strong relationship-building skills.
- Demonstrated client trust and value.
- Digital fluency and emotional agility.
- Commercial acumen and negotiation skills.
- Proven ability to lead teams and manage change.
- Experience delivering analytics or AI solutions in asset-intensive environments (e.g., utilities, energy, infrastructure, manufacturing, or transportation) is strongly preferred.
- Familiarity with utility regulatory, compliance, or operational data considerations is a plus.
Ideally, you’ll also have
- A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
- Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
- Experience working with diverse teams to deliver complex solutions.
- Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
- Experience fine-tuning Generative AI models.
- Experience in managing complex projects with multiple stakeholders.
- A strong understanding of industry trends and emerging technologies.
- Skills in data visualization and storytelling with data.
- Experience with image processing techniques and/or speech and audio processing and analysis.
- Exposure to Power & Utilities transformation programs, such as grid modernization, advanced metering, wildfire mitigation, energy transition, DER integration, or digital operations initiatives.
- Experience supporting executive-level decision-making in regulated environments, including preparation of materials that may be reviewed by regulators or governing bodies.
What we look for
We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.
In the Power & Utilities sector, we value leaders who can balance innovation with reliability, speed with safety, and advanced analytics with regulatory and operational realities delivering AI solutions that utilities can trust, scale, and defend.
What we offer you
At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
- We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
- Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
- Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an ongoing basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.
See All 135+ Machine Learning Engineer Jobs in New York
Find roles in New York that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineer Jobs by City in New York
Where New York roles are concentrated, by current openings.
Machine Learning Engineer Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Meta12
- Capital One5
- EY4
- Uber4
- JPMorganChase4
Top Industries Hiring
- Technology & Software16
- Insurance4
- Investment & Asset Management4
- Retail2
- Science & Research2
What New York Employers Look For
The qualifications that appear most often in machine learning engineer jobs across New York.
- Bachelor's or master's degree in computer science, mathematics, or a closely related field
- Proficiency in Python and core ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Experience designing, training, and deploying production machine learning models at scale
- Familiarity with cloud platforms including AWS, Google Cloud, or Microsoft Azure
- Strong grasp of statistics, linear algebra, and applied mathematics for model development
- Experience with MLOps tooling, model monitoring, and data pipeline orchestration
Machine Learning Engineer Jobs in New York: Frequently Asked Questions
How do you become a machine learning engineer in New York?
Machine learning engineering has no state-issued license in New York, so the path runs through education and demonstrated technical skill. Most New York employers expect at least a bachelor's degree in computer science, data science, or mathematics, with a master's degree preferred at larger finance and tech firms. Building a portfolio of deployed projects, contributing to open-source repositories, and completing graduate programs at institutions like Columbia, Cornell Tech, or NYU puts candidates in a strong position for New York's competitive market.
How much do machine learning engineers make in New York?
Machine learning engineers in New York earn a median of about $166,180 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $97,430 for the lowest 10% to over $224,590 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire machine learning engineers in New York?
Employers hiring machine learning engineers in New York right now include Meta, Capital One, and EY, based on current listings on Migrate Mate as of November 2026. New York's finance sector, anchored by large investment banks and fintech firms headquartered in Manhattan, is a particularly consistent source of machine learning engineering roles.
Which New York cities have the most machine learning engineer jobs?
New York, New York City, and New York have the most machine learning engineer openings in New York. New York City accounts for the clear majority of listings, driven by its dense concentration of financial institutions, media companies, and enterprise tech employers, while smaller markets like Buffalo have seen growth tied to university research partnerships and regional healthcare technology firms.
Are there remote machine learning engineer jobs in New York?
Yes, and more than most fields. About 74% of machine learning engineer openings tied to New York are remote or hybrid as of November 2026, reflecting how naturally the work translates to distributed environments. Research, modeling, and experimentation tasks are the most consistently remote, while roles requiring close collaboration with data engineering or product teams are more likely to require time on-site.
How can I get hired as a machine learning engineer in New York with little or no experience?
The most realistic entry path is a junior or associate machine learning engineer role, often posted by mid-size fintech companies and healthcare technology firms in New York that run structured onboarding programs for recent graduates. Completing a master's program at Columbia, NYU, or Cornell Tech while building applied projects creates a direct pipeline into entry roles. Data analyst and software engineer positions at large New York employers like Bloomberg or Verizon are also common lateral moves that lead into machine learning tracks with internal transfers.
Where can I find and apply to machine learning engineer jobs in New York?
You can find and apply to machine learning engineer jobs in New York on Migrate Mate, which lists current openings across the state. Find roles that fit your experience and location and apply directly to each one.
See All 135+ Machine Learning Engineer Jobs in New York
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